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A lightweight, robust P2P system to handle flash crowds

机译:一种轻量级,强大的P2P系统,可以处理闪光灯

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摘要

An Internet flash crowd (also known as hot spots) is a phenomenon that results from a sudden, unpredicted increase in an on-line object's popularity. Currently, there is no efficient means within the Internet to deliver Web objects scalably under hot spot conditions to all clients that desire the object. We present peer-to-peer (P2P) randomized overlays to obviate flash-crowd symptoms (PROOFS), a simple, lightweight, P2P approach that uses randomized overlay construction and randomized, scoped searches to locate and deliver objects efficiently under heavy demand to all users that desire them. We evaluate PROOFS' robustness in environments in which clients join and leave the P2P network, as well as in environments in which clients are not always fully cooperative. Through a mix of simulation and prototype experimentation in the Internet, we show that randomized approaches like PROOFS should effectively relieve flash crowd symptoms in dynamic, limited-participation environments.
机译:互联网闪存人群(也称为热点)是一种从突然的,不受预测的在线对象的普及产生的现象。目前,Internet中没有有效的手段,以在热点条件下将Web对象传递给所有希望对象的所有客户端。我们呈现对等(P2P)随机叠加,以避免闪存 - 人群症状(证明),一种使用随机覆盖结构和随机的,范围搜索的简单,轻量级,P2P方法,以便在重大需求下有效地定位和传送物体希望他们的用户。我们评估客户在客户加入并留下P2P网络的环境中的稳健性,以及在客户端并不总是完全合作的环境中。通过互联网上的仿真和原型实验的混合,我们表明样品等样的方法应该有效地缓解动态,有限的参与环境中的闪存人群症状。

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